Adaptive Genetic Algorithm for Hybrid Flow-Shop Scheduling
2013 ◽
Vol 753-755
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pp. 2925-2929
Keyword(s):
This paper studies the scheduling problem of Hybrid Flow Shop (HFS) under the objective of minimizing makespan. The corresponding scheduling simulation system is developed in details, which employed a new encoding method so as to guarantee the validity of chromosomes and the convenience of calculation. The corresponding crossover and mutation operators are proposed for optimum sequencing. The simulation results show that the adaptive Genetic Algorithm (GA) is an effective and efficient method for solving HFS Problems.
2014 ◽
Vol 670-671
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pp. 1434-1438
Keyword(s):
2011 ◽
Vol 61
(1-4)
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pp. 339-349
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2015 ◽
Vol 766-767
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pp. 962-967
2018 ◽
Vol 100
◽
pp. 211-229
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